
Supplementing broilers with different levels of fructooligosaccharides (FOS) under stress conditions, such as higher stocking densities and recycled litter that were not a significant difference in broiler performance, carcass quality and meat quality between the FOS-supplemented groups and the control group (p>0.05). FOS supplementation improved intestinal health by increasing the villus height to crypt depth ratio Lactobacillus populations increased, and Escherichia coli decreased with FOS supplementation. The heterophil-to-lymphocyte ratio was reduced which indicated lower stress.
การใช้ยาต้านจุลชีพส่งผลเสียเป็นอย่างมากโดยทำให้เชื้อทนทานต่อยาเเละตกค้างในเนื้อสัตว์ได้ ปัจจุบันผู้ส่งออกไก่ใช้น้อยลงหรือไม่ใช้พราะบาง ประเทศห้ามใช้ จึงได้มีการนำสารทีมีความปลอดภัยมาใช้ทดแทนยาต้านจุลชีพ พรีไบโอติก ได้เเก่ FOS เป็นหนึ่งในสารเสริมที่เป็นอาหารของจุลินทรีย์ดีที่มีประโยชน์ในลําไส้ ซึ่งช่วยปรับสภาพเเวดล้อมภายในลำไส้ให้ไก่มีสมรรถนะการเจริญเติบโต สัณฐานวิทยาของลำไส้ ภูมิคุ้ม รวมถึงคุณภาพเนื้อเเละซากให้ดีขึ้นได้"

คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
The Research aims to create Computer Assisted Instruction (CAI) on Kitchen Design for Residence for 20 undergraduate students at the Interior Environmental Design Division, School of Industrial Education and Technology, King Mongkut’s Institute of Technology Ladkrabang. This CAI is a self-learning program for Interior environmental design courses focused on kitchen design for residences. The program is designed to interact with students to create learner engagement and improve learning achievement by providing course content and end-of-chapter quizzes. The research hypothesis is CAI: Interior Environmental Design: Kitchen design for residence affects learners’ learning achievement and students' knowledge toward learning by this CAI. The Development testing (DT) with E1/E2 is the criterion for this instructional media to examine learning achievement. The research findings indicate that CAI is an effective instructional media, scoring 71.50/89.00, which meets the criteria of 80/80, demonstrating students’ learning achievement. Students achieved higher scores than before by using Computer-Assisted Instruction (CAI).

คณะวิทยาศาสตร์
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วิทยาลัยนวัตกรรมการผลิตขั้นสูง
The offline evaluation system for Thai-language large language models (LLMs) is designed to enable experts to efficiently test and assess various LLMs without relying on external services. This enhances the flexibility in selecting LLMs that best suit organizational needs or expert systems (ES). The system operates on personal computers, ensuring data security by eliminating concerns about external data storage. Additionally, it supports model testing and development using Retrieval-Augmented Generation (RAG), allowing access to domain-specific knowledge for accurate, energy-efficient processing. This ensures that the models can perform optimally and effectively meet the demands of organizations and expert systems.